Ideas Weave Every Narrative with AI.
An MCP server that lets AI agents screen markets in plain English is a brilliant idea — and it might as well not exist. The real bottleneck in the AI agent ecosystem isn’t technical capability; it’s discoverability. Servers are scattered across GitHub, X, and personal sites with no registry, no directory, no map. The projects that win won’t have the best code — they’ll have solved distribution first.
DeepTutor isn’t just another AI chatbot. It’s an entire operating system for learning, designed to solve the one problem that no other AI tool has cracked: context continuity. But its ambition is a double-edged sword. The same complexity that makes it powerful makes it fragile. Is it worth the investment?
AI agent skills aren’t just markdown files. They’re a dynamic discovery and context injection protocol, like a PATH variable for AI. The format is trivial; the mechanism is a genuine architectural shift that will define how agents retrieve and apply knowledge autonomously.
While the tech world obsesses over AI benchmarks, WorkBuddy quietly hit 20M daily users by shifting from a ‘consultant’ chatbot to an ‘executor’ AI. By absorbing SaaS interfaces into interface-less ‘Skills’ and hoarding proprietary action data, it’s building the next App Store. Your standalone app is dead. Your job is now commanding the AI oxen.